On the Similarity Between Neural Network and Evolutionary Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247260" target="_blank" >RIV/61989100:27240/20:10247260 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/20:10247260

Výsledek na webu

<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-61401-0_15.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-61401-0_15.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-61401-0_15" target="_blank" >10.1007/978-3-030-61401-0_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On the Similarity Between Neural Network and Evolutionary Algorithm

Popis výsledku v původním jazyce

Artificial neural networks, evolutionary algorithms (and swarm intelligence) are common algorithms belonging to well known soft-computing algorithms. Both classes of algorithms have their history, principles and represent two different biological areas, converted to computer technology. Despite fact that scientists already exhibited that both systems exhibit almost the same behavior dynamics (chaotic regimes etc.), researchers still take both classes of algorithms as two different classes. We show in this paper, that there are some similarities, that can help to understand evolutionary algorithms as neural networks and vice versa. (C) 2020, Springer Nature Switzerland AG.

Název v anglickém jazyce

On the Similarity Between Neural Network and Evolutionary Algorithm

Popis výsledku anglicky

Artificial neural networks, evolutionary algorithms (and swarm intelligence) are common algorithms belonging to well known soft-computing algorithms. Both classes of algorithms have their history, principles and represent two different biological areas, converted to computer technology. Despite fact that scientists already exhibited that both systems exhibit almost the same behavior dynamics (chaotic regimes etc.), researchers still take both classes of algorithms as two different classes. We show in this paper, that there are some similarities, that can help to understand evolutionary algorithms as neural networks and vice versa. (C) 2020, Springer Nature Switzerland AG.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12415

ISBN

978-3-030-61400-3

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

12

Strana od-do

147-158

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Zakopané

Datum konání akce

12. 10. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—